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Machine Learning for Electrocardiographic Features to Identify Left Atrial Enlargement in Young Adults: CHIEF Heart Study

Overview of attention for article published in Frontiers in Cardiovascular Medicine, March 2022
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

twitter
2 X users

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
8 Mendeley
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Title
Machine Learning for Electrocardiographic Features to Identify Left Atrial Enlargement in Young Adults: CHIEF Heart Study
Published in
Frontiers in Cardiovascular Medicine, March 2022
DOI 10.3389/fcvm.2022.840585
Pubmed ID
Authors

Chu-Yu Hsu, Pang-Yen Liu, Shu-Hsin Liu, Younghoon Kwon, Carl J. Lavie, Gen-Min Lin

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 13%
Researcher 1 13%
Student > Master 1 13%
Unknown 5 63%
Readers by discipline Count As %
Computer Science 2 25%
Business, Management and Accounting 1 13%
Unknown 5 63%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 February 2024.
All research outputs
#16,725,925
of 25,389,116 outputs
Outputs from Frontiers in Cardiovascular Medicine
#2,759
of 9,190 outputs
Outputs of similar age
#247,039
of 438,999 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#325
of 987 outputs
Altmetric has tracked 25,389,116 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,190 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 64% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 438,999 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 987 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.